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White raven [17]
3 years ago
9

Geoffrey's babysitter stayed from 5:15 P.M. until 11:35 P.M. For how much time

Mathematics
2 answers:
Rama09 [41]3 years ago
5 0

Answer:

6hrs and 20 mins

Step-by-step explanation:

RUDIKE [14]3 years ago
3 0

Answer:

6 Hours and 20 minutes

Step-by-step explanation:

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- The wait times for two different rides are
erma4kov [3.2K]

Answer:

(in a fraction format) 12/75=x/120

Step-by-step explanation:

The simplest way I can explain* is for these types of problems, all you do is make an equation like the one above and use an X as the numerator in the second equation over the denominator, which should be something like 120 in this problem. So after you find the information for the problem, which is the part where it states how much time a line of 48 people had to wait, make an equation using that information, which is 12/48. Then to finish the equation, use the 120 people in line part and make another equation that has an X as the numerator, or the number on top. It should look like this:

           12/75 = x/120

I tried sorry*

8 0
3 years ago
Drew wants to buy exercise equipment that costs $140 and the sales tax is 5.57% what is the total cost of the equipment
Eddi Din [679]

Answer:

$147.80

Step-by-step explanation:

140 x .0557 = 7.80 Tax

Add tax to price

140 + 7.80 = $147.80

8 0
3 years ago
Read 2 more answers
The average production cost for major movies is 57 million dollars and the standard deviation is 22 million dollars. Assume the
Degger [83]

Using the normal distribution, we have that:

  • The distribution of X is X \approx (57,22).
  • The distribution of \mathbf{\bar{X}} is \bar{X} \approx (57, 5.3358).
  • 0.0597 = 5.97% probability that a single movie production cost is between 55 and 58 million dollars.
  • 0.2233 = 22.33% probability that the average production cost of 17 movies is between 55 and 58 million dollars. Since the sample size is less than 30, assumption of normality is necessary.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

Z = \frac{X - \mu}{\sigma}

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation s = \frac{\sigma}{\sqrt{n}}.

In this problem, the parameters are given as follows:

\mu = 57, \sigma = 22, n = 17, s = \frac{22}{\sqrt{17}} = 5.3358

Hence:

  • The distribution of X is X \approx (57,22).
  • The distribution of \mathbf{\bar{X}} is \bar{X} \approx (57, 5.3358).

The probabilities are the <u>p-value of Z when X = 58 subtracted by the p-value of Z when X = 55</u>, hence, for a single movie:

X = 58:

Z = \frac{X - \mu}{\sigma}

Z = \frac{58 - 57}{22}

Z = 0.05.

Z = 0.05 has a p-value of 0.5199.

X = 55:

Z = \frac{X - \mu}{\sigma}

Z = \frac{55 - 57}{22}

Z = -0.1.

Z = -0.1 has a p-value of 0.4602.

0.5199 - 0.4602 = 0.0597 = 5.97% probability that a single movie production cost is between 55 and 58 million dollars.

For the sample of 17 movies, we have that:

X = 58:

Z = \frac{X - \mu}{s}

Z = \frac{58 - 57}{5.3358}

Z = 0.19.

Z = 0.19 has a p-value of 0.5753.

X = 55:

Z = \frac{X - \mu}{s}

Z = \frac{55 - 57}{5.3358}

Z = -0.38.

Z = -0.38 has a p-value of 0.3520.

0.5753 - 0.3520 = 0.2233 = 22.33% probability that the average production cost of 17 movies is between 55 and 58 million dollars. Since the sample size is less than 30, assumption of normality is necessary.

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

8 0
2 years ago
In how many different orders can you line up 8 cards on a table
Fynjy0 [20]
You can line up 8 cards 64 different ways. 

8 * 8 = 64
3 0
3 years ago
Read 2 more answers
Helpppp pleasssss!!!!
DaniilM [7]

Answer:

Step-by-step explanation:

A)  

attached , I used g o o g l e draw.

B)

0.8 m  = 80 cm    =800 mm /50 = 16 mm

C)

bed = 4cm x 3cm  

4cm*50= 200 cm = 2 m  

3cm*50 = 150 cm = 1.5 m

8 0
3 years ago
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